MA Basiri

A hybrid framework that automates the discovery of nonlinear dynamics by combining symbolic regression and sparse identification. It generates basis functions automatically, recovering ground-truth equations with 92.8% accuracy even in noisy conditions, and outperforming traditional methods in prediction and simplicity.

Built an adaptive framework for identifying and categorizing previously unseen classes in dynamic environments. Achieved 75-93% accuracy improvement across text, image, and sensor datasets, advancing beyond traditional closed-world assumptions.

Developed a novel algorithm incorporating graph-informed regularization into sparse regression for accurate discovery of network dynamics. Validated on Stuart-Landau oscillator networks with superior performance in identifying complex system behaviors.

Developed multilayer cross-frequency functional connectivity framework for extracting spatiotemporal EEG features. Achieved 15-20% accuracy improvement over baseline methods for early Alzheimer's disease detection.

Engineered a relational database structure, optimizing data storage and indexing strategies (Azure SQL). Constructed a database application to execute complex SQL queries for efficient transaction management (Java, SQL).

Architected and deployed a deep learning face recognition system achieving 95-97% accuracy under challenging real-world conditions. Implemented for time-clock systems and service robots with robust data preprocessing pipelines.

Created physics-informed and ML-based path-planning algorithms with novel loss functions for superior obstacle avoidance. Modeled aerial robot formation control with security measures against cyber-physical attacks.

Interactive web application implementing greedy algorithm optimization for resource management. Calculates optimal leveling strategy to minimize coin expenditure while maximizing point gains using efficiency-based decision making.

A collection of projects including a movie database console app, predictive analysis of cancer gene expression, credit card fraud detection, HR analytics on employee attrition, and student performance analysis.